Personal profile
Biography
Russell Sadeghi is a PhD student at The Australian National University whose research focuses on the role of generative artificial intelligence and information systems in strengthening resilience, sustainability, and decision-making within modern organizations and supply chains. His work draws on a multidisciplinary approach that integrates empirical and analytical methods, including machine learning and quantitative analysis. Russell holds a Master of Science in Industrial Engineering, with a minor in Production and Service Systems, where he conducted research on AI-based peer-to-peer trading systems for sustainable development.
Research Interests
Information Systems, Operations Management, Resilience, Generative AI
Qualifications
BSc & MSc
Education/Academic qualification
MSc in Industrial Engineering - Production and Service Systems, An Artificial Intelligence Approach for Peer-to-Peer Trading Models: Resilient Sustainable Development
Award Date: 23 Sept 2025
BSc in Industrial Engineering, An Efficient Pharmaceutical Supply Chain During the COVID-19 Pandemic
Award Date: 15 Feb 2023
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Collaborations and top research areas from the last five years
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A sourcing–inventory model with flexible production for sustainable supply chains: machine learning and relational view theory
Sadeghi, R., Sadeghi , S. & Rabbani, M., 12 Dec 2025, In: International Journal of Systems Science: Operations and Logistics. 12, 1, 31 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Increasing trust and value of mobile advertising in retailing: A survey design, machine learning approach, and blockchain in the trust path
Hajian, A., Sadeghi, R., Prybutok, V. R. & Koh, C. E., Jun 2024, In: Journal of Retailing and Consumer Services. 79, 16 p.Research output: Contribution to journal › Article › peer-review
24 Citations (Scopus) -
A peer-to-peer trading model to enhance resilience: A blockchain-based smart grids with machine learning analysis towards sustainable development goals
Sadeghi, R., Sadeghi , S., Memari, A., Rezaeinejad, S. & Hajian, A., 15 Apr 2024, In: Journal of Cleaner Production. 450, 11 p.Research output: Contribution to journal › Article › peer-review
29 Citations (Scopus) -
A blockchain-based dynamic energy pricing model for supply chain resiliency using machine learning
Qaisari, M., Sadeghi, R., Hajian, A., Shahvari, O. & Ghasemi, A., May 2024, In: Supply Chain Analytics. 6, 8 p.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus) -
Blockchain and Machine Learning Framework for Financial Performance in Pharmaceutical Supply Chains
Sadeghi, R., Hajian, A. & Rabiee, M., 2023, Advancement in Business Analytics Tools for Higher Financial Performance. IGI Global, 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Citations (Scopus)